Technical Product Manager

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role - Technical Product Owner – GenAI & Agent Platform

YOE - 9+ Years

Role Summary :
We are building an enterprise-grade platform that enables customers to design, deploy, and operate AI agents at scale. As the Technical Product Owner, you will own the end-to-end product roadmap and delivery of core
platform capabilities, working deeply with engineering, AI/ML, DevOps, and customer technical stakeholders.

Key Responsibilities
- Own the roadmap and delivery for model inference services, automation, agent orchestration, evaluation frameworks, and API gateway layers.
- Break down complex platform initiatives into epics, features, and user stories with clear acceptance criteria.
- Act as the primary interface for customer technical stakeholders and internal engineering teams.

-Participate in architecture and design discussions with sufficient technical depth to challenge assumptions.

-Ensure non-functional requirements like scalability, latency, security, and cost are prioritized.

Technical Stakeholder Management
- Engage with customer architects, AI leads, and platform owners to align on expectations and delivery.
- Translate technical discussions into clear product decisions and roadmap trade-offs.

- Proactively manage dependencies and risks across teams.

- Agile Delivery
- Own and prioritize the product backlog aligned with business and technical goals.
- Lead backlog grooming, sprint planning, and release planning.
- Ensure sprint outcomes deliver measurable platform value.

Required Skills :
- 7–12+ years as a Product Owner or Technical Product Manager for platform or AI products.

- Strong understanding of GenAI/LLM systems, API-first architectures, cloud platforms, and Kubernetes.

- Experience with enterprise-grade delivery and customer-facing technical roles.
- Excellent communication skills with technical and non-technical audiences.